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author | Serban Udrea <S.Udrea@gsi.de> | 2016-08-26 07:15:29 +0700 |
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committer | David Spencer <idlemoor@slackbuilds.org> | 2016-08-28 00:22:40 +0100 |
commit | 2917ce175f25b822d872c38a08c41f558b59260b (patch) | |
tree | 46f1e03f4b6224d9f2405249ddfbc10e521a01cb /development/numpy-legacy3/README | |
parent | d7dda7c0e17d07f7822f0e5082a60dd8198d8a19 (diff) |
development/numpy-legacy3: Added (a Python extension).
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'development/numpy-legacy3/README')
-rw-r--r-- | development/numpy-legacy3/README | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/development/numpy-legacy3/README b/development/numpy-legacy3/README new file mode 100644 index 0000000000000..345660ee8e46e --- /dev/null +++ b/development/numpy-legacy3/README @@ -0,0 +1,38 @@ +NumPy is a general-purpose array-processing package designed to +efficiently manipulate large multi-dimensional arrays of arbitrary +records without sacrificing too much speed for small multi-dimensional +arrays. NumPy is built on the Numeric code base and adds features +introduced by numarray as well as an extended C-API and the ability to +create arrays of arbitrary type which also makes NumPy suitable for +interfacing with general-purpose data-base applications. + +There are also basic facilities for discrete fourier transform, basic +linear algebra and random number generation. + +If you need to build numpy for debugging, set DEBUG=y. If you use software +which is having problems with numpy's new relaxed strides checking, set +NPY_RSC=0. + +It is highly recommended to install libraries implementing BLAS and LAPACK +before installing numpy. You may choose between: + a) BLAS and LAPACK (reference but unoptimized and thus slow) + b) OpenBLAS (optimized, provides LAPACK too) + c) ATLAS and LAPACK (optimized), good to read README.ATLAS +All these are available on SlackBuilds.org. + +If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric +sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no" +and then install scikit-umfpack on top of scipy. In this context, UMFPACK is an +optional dependency for numpy. Nevertheless, note that presently scikit-umfpack +is not available on SlackBuilds.org while its dependencies are. + +NOTE: If you use this SlackBuild numpy will run with the python 3 version + installed on your system. If you'd like to use python 2.7.xx as + provided by Slackware Linux then you have to install it with the + numpy-legacy SlackBuild. + +IMPORTANT: This version, 1.8.2, is the latest to include the oldnumeric + and numarray compatibility modules. Starting with version + 1.9.0 these modules got removed by the numpy developers. + THUS: This SlackBuild conflicts with the numpy3 SlackBuild + which installs versions >= 1.9.0! |